Nir S. Gov
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions 79
- Microtubule and mitosis dynamics 30
- Condensed Matter Physics top 1%
- Micro and Nano Robotics 28
- Biophysics top 0.5%
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 24
- Microfluidic and Bio-sensing Technologies 17
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- Lipid Membrane Structure and Behavior 39
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- Erythrocyte Function and Pathophysiology 18
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- Blood properties and coagulation 16
- Co-authors
- S. A. SafranRoie ShlomovitzThorsten AuthItai PinkoviezkyRaphaël VoituriezJean‐François JoannyAjay GopinathanAnton Zilman
- Journals
- Biophysical Journal (23 papers)Proceedings of the National Academy of Sciences (13 papers)Physical Review Letters (10 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Nir S. Gov
167 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 153
- Cell Biology 3.0k
- Condensed Matter Physics 1.3k
- Biophysics 381
- Statistical and Nonlinear Physics 599
- Biomedical Engineering 2.1k
Countries citing papers authored by Nir S. Gov
This map shows the geographic impact of Nir S. Gov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nir S. Gov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir S. Gov more than expected).
Fields of papers citing papers by Nir S. Gov
This network shows the impact of papers produced by Nir S. Gov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nir S. Gov. The network helps show where Nir S. Gov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nir S. Gov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 4 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 25 | |
| 12 | 2022 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 43 | |
| 15 | 2020 | 29 | |
| 16 | 2019 | 46 | |
| 17 | 2018 | 60 | |
| 18 | 2016 | 56 | |
| 19 | Membrane-mediated interactions drive the condensation and coalescence of FtsZ rings | 2010 | 11 |
| 20 | 2006 | 299 |
About Nir S. Gov
Nir S. Gov is a scholar working on Cell Biology, Condensed Matter Physics and Biomedical Engineering, having authored 175 papers that have together received 6.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (79 papers), Lipid Membrane Structure and Behavior (39 papers), Microtubule and mitosis dynamics (30 papers), Micro and Nano Robotics (28 papers), 3D Printing in Biomedical Research (24 papers), Erythrocyte Function and Pathophysiology (18 papers), Microfluidic and Bio-sensing Technologies (17 papers) and Blood properties and coagulation (16 papers). The work is most often cited by research in Cell Biology (3.0k citations), Condensed Matter Physics (1.3k citations) and Biophysics (381 citations). Nir S. Gov has collaborated with scholars based in Israel, United States and France. Frequent co-authors include S. A. Safran, Roie Shlomovitz, Thorsten Auth, Itai Pinkoviezky, Raphaël Voituriez, Jean‐François Joanny, Ajay Gopinathan, Anton Zilman, Pascal Silberzan and Alex Veksler. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Physical Review Letters, Nature Communications and Physical Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.